Data Fusion for Sparse Semantic Localization Based on Object Detection
Data Fusion for Sparse Semantic Localization Based on Object Detection
About this item
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Publisher
Tokyo: Fuji Technology Press Co. Ltd
Journal title
Language
English
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Publisher
Tokyo: Fuji Technology Press Co. Ltd
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Scope and Contents
Contents
Semantic information has started to be used in localization methods to introduce a non-geometric distinction in the environment. However, efficient ways to integrate this information remain a question. We propose an approach for fusing data from different object classes by analyzing the posterior for each object class to improve robustness and accu...
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Full title
Data Fusion for Sparse Semantic Localization Based on Object Detection
Authors, Artists and Contributors
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TN_cdi_proquest_journals_3041252089
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3041252089
Other Identifiers
ISSN
0915-3942
E-ISSN
1883-8049
DOI
10.20965/jrm.2024.p0375
